On the Use of Perfect Sequences and Genetic Algorithms for Estimating the Indoor Location of Wireless Sensors

M. Ferreira, J. Bagarić, Jose M. Lanza-Gutierrez, S. Priem-Mendes, J. S. Pereira and Juan A. Gomez-Pulido

International Journal of Distributed Sensor Networks, 2015, vol. 11, issue 4, 720574

Abstract: Determining the indoor location is usually performed by using several sensors. Some of these sensors are fixed to a known location and either transmit or receive information that allows other sensors to estimate their own locations. The estimation of the location can use information such as the time-of-arrival of the transmitted signals, or the received signal strength, among others. Major problems of indoor location include the interferences caused by the many obstacles in such cases, causing among others the signal multipath problem and the variation of the signal strength due to the many transmission media in the path from the emitter to the receiver. In this paper, the creation and usage of perfect sequences that eliminate the signal multipath problem are presented. It also shows the influence of the positioning of the fixed sensors to the precision of the location estimation. Finally, genetic algorithms were used for searching the optimal location of these fixed sensors, therefore minimizing the location estimation error.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:11:y:2015:i:4:p:720574

DOI: 10.1155/2015/720574

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